code: def predict(
      self, df: pd.DataFrame, args: Optional[Dict] = None
  ) -> pd.DataFrame:
      model = dill.loads(self.model_storage.file_get("model"))
      target = self.model_storage.json_get("args").get("target")
  
      results = pd.DataFrame(model.predict(df), columns=[target])
  
      return results
  
file_path: mindsdb/mindsdb/integrations/handlers/flaml_handler/flaml_handler.py
imports: import dill
  import pandas
  from mindsdb.integrations.libs.base import BaseMLEngine
  from typing import Dict, Optional
  from type_infer.api import infer_types
  from flaml import AutoML
label_desc: Use image node_id 2 for calling the FLAMLHandler obj's underlying member method code with example usage: obj.predict(df, args) and returns: results